Analysing robustness of tiny deep neural networks
statement of authorship
Hamid Mousavi, Ali Zoljodi and Masoud Daneshtalab
source
New Trends in Database and Information Systems : ADBIS 2023 Short Papers, Doctoral Consortium and Workshops : DOING, K-GALS, MADEISD, PeRS, Barcelona, Spain, September 4–7, 2023 : proceedings
location of publication
Cham
publisher
year of publication
pages
p. 150-159
series
Communications in computer and information science ; 1850
conference name, date
27th European Conference on Advances in Databases and Information Systems, ADBIS 2023, 4-7 September 2023
conference location
Barcelona, Spain
ISSN
1865-0929
1865-0937 (electronic)
ISBN
978-3-031-42940-8
978-3-031-42941-5 (eBook)
notes
Bibliogr.: 26 ref
scientific publication
teaduspublikatsioon
TTÜ department
language
inglise
subject term
keyword
adversarial data perturbation
adversarial training
lipchitz constant
robustness analysis
category (general)
Mousavi, H., Zoljodi, A., Daneshtalab, M. Analysing robustness of tiny deep neural networks // New Trends in Database and Information Systems : ADBIS 2023 Short Papers, Doctoral Consortium and Workshops : DOING, K-GALS, MADEISD, PeRS, Barcelona, Spain, September 4–7, 2023 : proceedings. Cham : Springer, 2023. p. 150-159. (Communications in computer and information science ; 1850).